Funding period: 2019-2024
Lead: Vinita Chauhan
Total GRDI funding: $540,000
Scientific knowledge emerging over the last decades clearly indicates that the risk of adverse health outcomes is uncertain at radiation exposures relevant to public and occupational levels. This study enriches the scientific knowledge in the area of low dose and low dose rate radiation exposure through "omic" studies and benchmark dose modeling using publically available transcriptional datasets. The intent is to identify early predictors of disease progression and associated "safe" doses that can be translated to risk assessment. A better understanding of these factors will enable more reliable health risk estimations, which is essential for a robust system of radiation protection. Benchmark dose modeling is one of the strategic research avenues of the Canadian Organization on Health Effects from Radiation Exposure (COHERE).
Publications
- Adam N, Vuong NQ, Adams H, Kuo B, Beheshti A, Yauk C, Wilkins R, Chauhan V. 2022. Evaluating the influences of confounding variables on benchmark dose using a case study in the field of ionizing radiation. Int J Radiat Biol.;98(12):1845-1855. https://doi.org/10.1080/09553002.2022.2110303. Epub 2022 Aug 23. PMID: 35939396
- Azimzadeh O, Moertl S, Ramadan R, Baselet B, Laiakis EC, Sebastian S, Beaton D, Hartikainen JM, Kaiser JC, Beheshti A, Salomaa S, Chauhan V, Hamada N. 2022. Application of radiation omics in the development of adverse outcome pathway networks: an example of radiation-induced cardiovascular disease. Int J Radiat Biol.;98(12):1722-1751. https://doi.org/10.1080/09553002.2022.2110325. Epub 2022 Aug 24. PMID: 35976069
- Chauhan V, Adam N, Kuo B, Williams A, Yauk CL, Wilkins R, Stainforth R. 2020. Meta-analysis of transcriptomic datasets using benchmark dose modeling shows value in supporting radiation risk assessment. Int J Radiat Biol. 97(1):31-49. https://doi.org/10.1080/09553002.2020.1798543
- Chauhan V, Leblanc J, Sadi B, Burtt J, Sauvé K, Lane R, Randhawa K, Wilkins R, Quayle D. 2021. COHERE - Strengthening cooperation within the Canadian Government on radiation research. Int J Radiat Biol. 97(9):1153-1165. https://doi.org/10.1080/09553002.2021.1941379
- Chauhan V, Yu J, Vuong N, Haber LT, Williams A, Auerbach SS, Beaton D, Wang Y, Stainforth R, Wilkins RC, Azzam EI, Richardson RB, Khan MGM, Jadhav A, Burtt JJ, Leblanc J, Randhawa K, Tollefsen KE, Yauk CL. 2023. Considerations for application of benchmark dose modeling in radiation research: workshop highlights. Int J Radiat Biol. 7:1-12. https://doi.org/10.1080/09553002.2023.2181998
- Stainforth R, Vuong N, Adam N, Kuo B, Wilkins RC, Yauk C, Beheshti A, Chauhan V. 2022. Benchmark dose modeling of transcriptional data: a systematic approach to identify best practices for study designs used in radiation research. Int J Radiat Biol. 98(12):1832-1844. https://doi.org/10.1080/09553002.2022.2110300. Epub 2022 Aug 22. PMID: 35939275
- Yu J, Tu W, Payne A, Rudyk C, Cuadros Sanchez S, Khilji S, Kumarathasan P, Subedi S, Haley B, Wong A, Anghel C, Wang Y, Chauhan V. 2022. Adverse outcome pathways and linkages to transcriptomic effects relevant to ionizing radiation injury. Int J Radiat Biol. 98(12):1789-1801. https://doi.org/10.1080/09553002.2022.2110313. Epub 2022 Aug 22. PMID: 35939063
Contact us
For additional information, please contact:
Genomics R&D Initiative
Email: info@grdi-irdg.collaboration.gc.ca